@article{ZHAO201743,
  title    = {Multi-view learning overview: Recent progress and new challenges},
  journal  = {Information Fusion},
  volume   = {38},
  pages    = {43-54},
  year     = {2017},
  issn     = {1566-2535},
  doi      = {https://doi.org/10.1016/j.inffus.2017.02.007},
  url      = {https://www.sciencedirect.com/science/article/pii/S1566253516302032},
  author   = {Jing Zhao and Xijiong Xie and Xin Xu and Shiliang Sun},
  keywords = {Multi-view learning, Statistical learning theory, Co-training, Co-regularization, Margin consistency},
  abstract = {Multi-view learning is an emerging direction in machine learning which considers learning with multiple views to improve the generalization performance. Multi-view learning is also known as data fusion or data integration from multiple feature sets. Since the last survey of multi-view machine learning in early 2013, multi-view learning has made great progress and developments in recent years, and is facing new challenges. This overview first reviews theoretical underpinnings to understand the properties and behaviors of multi-view learning. Then multi-view learning methods are described in terms of three classes to offer a neat categorization and organization. For each category, representative algorithms and newly proposed algorithms are presented. The main feature of this survey is that we provide comprehensive introduction for the recent developments of multi-view learning methods on the basis of coherence with early methods. We also attempt to identify promising venues and point out some specific challenges which can hopefully promote further research in this rapidly developing field.}
}

@article{DBLP:journals/tcyb/KangLZX22,
  author    = {Zhao Kang and
               Zhiping Lin and
               Xiaofeng Zhu and
               Wenbo Xu},
  title     = {Structured Graph Learning for Scalable Subspace Clustering: From Single
               View to Multiview},
  journal   = {{IEEE} Trans. Cybern.},
  volume    = {52},
  number    = {9},
  pages     = {8976--8986},
  year      = {2022},
  url       = {https://doi.org/10.1109/TCYB.2021.3061660},
  doi       = {10.1109/TCYB.2021.3061660},
  timestamp = {Thu, 09 Mar 2023 09:08:59 +0100},
  biburl    = {https://dblp.org/rec/journals/tcyb/KangLZX22.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/tip/HuangCZC21,
  author    = {Aiping Huang and
               Weiling Chen and
               Tiesong Zhao and
               Chang Wen Chen},
  title     = {Joint Learning of Latent Similarity and Local Embedding for Multi-View
               Clustering},
  journal   = {{IEEE} Trans. Image Process.},
  volume    = {30},
  pages     = {6772--6784},
  year      = {2021},
  url       = {https://doi.org/10.1109/TIP.2021.3096086},
  doi       = {10.1109/TIP.2021.3096086},
  timestamp = {Thu, 16 Sep 2021 18:03:41 +0200},
  biburl    = {https://dblp.org/rec/journals/tip/HuangCZC21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/tai/ChaoSB21,
  author    = {Guoqing Chao and
               Shiliang Sun and
               Jinbo Bi},
  title     = {A Survey on Multiview Clustering},
  journal   = {{IEEE} Trans. Artif. Intell.},
  volume    = {2},
  number    = {2},
  pages     = {146--168},
  year      = {2021},
  url       = {https://doi.org/10.1109/TAI.2021.3065894},
  doi       = {10.1109/TAI.2021.3065894},
  timestamp = {Thu, 16 Sep 2021 18:03:16 +0200},
  biburl    = {https://dblp.org/rec/journals/tai/ChaoSB21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}


@article{DBLP:journals/tnn/TaoLLDF20,
  author    = {Zhiqiang Tao and
               Hongfu Liu and
               Sheng Li and
               Zhengming Ding and
               Yun Fu},
  title     = {Marginalized Multiview Ensemble Clustering},
  journal   = {{IEEE} Trans. Neural Networks Learn. Syst.},
  volume    = {31},
  number    = {2},
  pages     = {600--611},
  year      = {2020},
  url       = {https://doi.org/10.1109/TNNLS.2019.2906867},
  doi       = {10.1109/TNNLS.2019.2906867},
  timestamp = {Sun, 02 Oct 2022 15:51:43 +0200},
  biburl    = {https://dblp.org/rec/journals/tnn/TaoLLDF20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/aaai/GaoXWXZ20,
  author    = {Quanxue Gao and
               Wei Xia and
               Zhizhen Wan and
               De{-}Yan Xie and
               Pu Zhang},
  title     = {Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering},
  booktitle = {The Thirty-Fourth {AAAI} Conference on Artificial Intelligence, {AAAI}
               2020, The Thirty-Second Innovative Applications of Artificial Intelligence
               Conference, {IAAI} 2020, The Tenth {AAAI} Symposium on Educational
               Advances in Artificial Intelligence, {EAAI} 2020, New York, NY, USA,
               February 7-12, 2020},
  pages     = {3930--3937},
  publisher = {{AAAI} Press},
  year      = {2020},
  url       = {https://ojs.aaai.org/index.php/AAAI/article/view/5807},
  timestamp = {Mon, 07 Mar 2022 16:58:07 +0100},
  biburl    = {https://dblp.org/rec/conf/aaai/GaoXWXZ20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/ijcai/NieLL16,
  author    = {Feiping Nie and
               Jing Li and
               Xuelong Li},
  editor    = {Subbarao Kambhampati},
  title     = {Parameter-Free Auto-Weighted Multiple Graph Learning: {A} Framework
               for Multiview Clustering and Semi-Supervised Classification},
  booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
               Artificial Intelligence, {IJCAI} 2016, New York, NY, USA, 9-15 July
               2016},
  pages     = {1881--1887},
  publisher = {{IJCAI/AAAI} Press},
  year      = {2016},
  url       = {http://www.ijcai.org/Abstract/16/269},
  timestamp = {Mon, 14 Feb 2022 16:41:11 +0100},
  biburl    = {https://dblp.org/rec/conf/ijcai/NieLL16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/ijcai/NieLL17,
  author    = {Feiping Nie and
               Jing Li and
               Xuelong Li},
  editor    = {Carles Sierra},
  title     = {Self-weighted Multiview Clustering with Multiple Graphs},
  booktitle = {Proceedings of the Twenty-Sixth International Joint Conference on
               Artificial Intelligence, {IJCAI} 2017, Melbourne, Australia, August
               19-25, 2017},
  pages     = {2564--2570},
  publisher = {ijcai.org},
  year      = {2017},
  url       = {https://doi.org/10.24963/ijcai.2017/357},
  doi       = {10.24963/ijcai.2017/357},
  timestamp = {Mon, 14 Feb 2022 16:41:11 +0100},
  biburl    = {https://dblp.org/rec/conf/ijcai/NieLL17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/icdm/LiangHW19,
  author    = {Youwei Liang and
               Dong Huang and
               Chang{-}Dong Wang},
  editor    = {Jianyong Wang and
               Kyuseok Shim and
               Xindong Wu},
  title     = {Consistency Meets Inconsistency: {A} Unified Graph Learning Framework
               for Multi-view Clustering},
  booktitle = {2019 {IEEE} International Conference on Data Mining, {ICDM} 2019,
               Beijing, China, November 8-11, 2019},
  pages     = {1204--1209},
  publisher = {{IEEE}},
  year      = {2019},
  url       = {https://doi.org/10.1109/ICDM.2019.00148},
  doi       = {10.1109/ICDM.2019.00148},
  timestamp = {Tue, 07 Sep 2021 20:01:19 +0200},
  biburl    = {https://dblp.org/rec/conf/icdm/LiangHW19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}


@article{DBLP:journals/tkde/WangYL20,
  author    = {Hao Wang and
               Yan Yang and
               Bing Liu},
  title     = {{GMC:} Graph-Based Multi-View Clustering},
  journal   = {{IEEE} Trans. Knowl. Data Eng.},
  volume    = {32},
  number    = {6},
  pages     = {1116--1129},
  year      = {2020},
  url       = {https://doi.org/10.1109/TKDE.2019.2903810},
  doi       = {10.1109/TKDE.2019.2903810},
  timestamp = {Tue, 08 Sep 2020 16:13:35 +0200},
  biburl    = {https://dblp.org/rec/journals/tkde/WangYL20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}


@inproceedings{DBLP:conf/iske/Khan0LDH19,
  author    = {Ghufran Ahmad Khan and
               Jie Hu and
               Tianrui Li and
               Bassoma Diallo and
               Qianqian Huang},
  editor    = {Li Zou and
               Lingling Fang and
               Bo Fu and
               Panpan Niu},
  title     = {Weighted Multi-View Data Clustering via Joint Non-Negative Matrix
               Factorization},
  booktitle = {14th {IEEE} International Conference on Intelligent Systems and Knowledge
               Engineering, {ISKE} 2019, Dalian, China, November 14-16, 2019},
  pages     = {1159--1165},
  publisher = {{IEEE}},
  year      = {2019},
  url       = {https://doi.org/10.1109/ISKE47853.2019.9170204},
  doi       = {10.1109/ISKE47853.2019.9170204},
  timestamp = {Mon, 03 Jan 2022 22:29:29 +0100},
  biburl    = {https://dblp.org/rec/conf/iske/Khan0LDH19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/iccv/ZhangFLLC15,
  author    = {Changqing Zhang and
               Huazhu Fu and
               Si Liu and
               Guangcan Liu and
               Xiaochun Cao},
  title     = {Low-Rank Tensor Constrained Multiview Subspace Clustering},
  booktitle = {2015 {IEEE} International Conference on Computer Vision, {ICCV} 2015,
               Santiago, Chile, December 7-13, 2015},
  pages     = {1582--1590},
  publisher = {{IEEE} Computer Society},
  year      = {2015},
  url       = {https://doi.org/10.1109/ICCV.2015.185},
  doi       = {10.1109/ICCV.2015.185},
  timestamp = {Thu, 23 Mar 2023 23:57:44 +0100},
  biburl    = {https://dblp.org/rec/conf/iccv/ZhangFLLC15.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/nips/Huang0ZL020,
  author    = {Zhenyu Huang and
               Peng Hu and
               Joey Tianyi Zhou and
               Jiancheng Lv and
               Xi Peng},
  editor    = {Hugo Larochelle and
               Marc'Aurelio Ranzato and
               Raia Hadsell and
               Maria{-}Florina Balcan and
               Hsuan{-}Tien Lin},
  title     = {Partially View-aligned Clustering},
  booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference
               on Neural Information Processing Systems 2020, NeurIPS 2020, December
               6-12, 2020, virtual},
  year      = {2020},
  url       = {https://proceedings.neurips.cc/paper/2020/hash/1e591403ff232de0f0f139ac51d99295-Abstract.html},
  timestamp = {Wed, 31 Mar 2021 19:36:14 +0200},
  biburl    = {https://dblp.org/rec/conf/nips/Huang0ZL020.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/cvpr/YangL0L0021,
  author    = {Mouxing Yang and
               Yunfan Li and
               Zhenyu Huang and
               Zitao Liu and
               Peng Hu and
               Xi Peng},
  title     = {Partially View-Aligned Representation Learning With Noise-Robust Contrastive
               Loss},
  booktitle = {{IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR}
               2021, virtual, June 19-25, 2021},
  pages     = {1134--1143},
  publisher = {Computer Vision Foundation / {IEEE}},
  year      = {2021},
  url       = {https://openaccess.thecvf.com/content/CVPR2021/html/Yang\_Partially\_View-Aligned\_Representation\_Learning\_With\_Noise-Robust\_Contrastive\_Loss\_CVPR\_2021\_paper.html},
  doi       = {10.1109/CVPR46437.2021.00119},
  timestamp = {Mon, 18 Jul 2022 16:47:40 +0200},
  biburl    = {https://dblp.org/rec/conf/cvpr/YangL0L0021.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}


@inproceedings{DBLP:conf/aaai/LiJZ14,
  author    = {Shao{-}Yuan Li and
               Yuan Jiang and
               Zhi{-}Hua Zhou},
  editor    = {Carla E. Brodley and
               Peter Stone},
  title     = {Partial Multi-View Clustering},
  booktitle = {Proceedings of the Twenty-Eighth {AAAI} Conference on Artificial Intelligence,
               July 27 -31, 2014, Qu{\'{e}}bec City, Qu{\'{e}}bec, Canada},
  pages     = {1968--1974},
  publisher = {{AAAI} Press},
  year      = {2014},
  url       = {http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8241},
  timestamp = {Tue, 08 Mar 2022 21:45:33 +0100},
  biburl    = {https://dblp.org/rec/conf/aaai/LiJZ14.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/ijcai/HuC18,
  author    = {Menglei Hu and
               Songcan Chen},
  editor    = {J{\'{e}}r{\^{o}}me Lang},
  title     = {Doubly Aligned Incomplete Multi-view Clustering},
  booktitle = {Proceedings of the Twenty-Seventh International Joint Conference on
               Artificial Intelligence, {IJCAI} 2018, July 13-19, 2018, Stockholm,
               Sweden},
  pages     = {2262--2268},
  publisher = {ijcai.org},
  year      = {2018},
  url       = {https://doi.org/10.24963/ijcai.2018/313},
  doi       = {10.24963/ijcai.2018/313},
  timestamp = {Tue, 20 Aug 2019 16:19:08 +0200},
  biburl    = {https://dblp.org/rec/conf/ijcai/HuC18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/aaai/WenZ0ZFL19,
  author    = {Jie Wen and
               Zheng Zhang and
               Yong Xu and
               Bob Zhang and
               Lunke Fei and
               Hong Liu},
  title     = {Unified Embedding Alignment with Missing Views Inferring for Incomplete
               Multi-View Clustering},
  booktitle = {The Thirty-Third {AAAI} Conference on Artificial Intelligence, {AAAI}
               2019, The Thirty-First Innovative Applications of Artificial Intelligence
               Conference, {IAAI} 2019, The Ninth {AAAI} Symposium on Educational
               Advances in Artificial Intelligence, {EAAI} 2019, Honolulu, Hawaii,
               USA, January 27 - February 1, 2019},
  pages     = {5393--5400},
  publisher = {{AAAI} Press},
  year      = {2019},
  url       = {https://doi.org/10.1609/aaai.v33i01.33015393},
  doi       = {10.1609/aaai.v33i01.33015393},
  timestamp = {Tue, 02 Feb 2021 07:59:54 +0100},
  biburl    = {https://dblp.org/rec/conf/aaai/WenZ0ZFL19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{9556146,
  author  = {Fang, Xiang and Hu, Yuchong and Zhou, Pan and Wu, Dapeng},
  journal = {IEEE Transactions on Artificial Intelligence},
  title   = {ANIMC: A Soft Approach for Autoweighted Noisy and Incomplete Multiview Clustering},
  year    = {2022},
  volume  = {3},
  number  = {2},
  pages   = {192-206},
  doi     = {10.1109/TAI.2021.3116546}
}

@article{DBLP:journals/tcyb/WenZZFW21,
  author    = {Jie Wen and
               Zheng Zhang and
               Zhao Zhang and
               Lunke Fei and
               Meng Wang},
  title     = {Generalized Incomplete Multiview Clustering With Flexible Locality
               Structure Diffusion},
  journal   = {{IEEE} Trans. Cybern.},
  volume    = {51},
  number    = {1},
  pages     = {101--114},
  year      = {2021},
  url       = {https://doi.org/10.1109/TCYB.2020.2987164},
  doi       = {10.1109/TCYB.2020.2987164},
  timestamp = {Tue, 01 Jun 2021 09:59:44 +0200},
  biburl    = {https://dblp.org/rec/journals/tcyb/WenZZFW21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/tmm/WenYZXWFZ21,
  author    = {Jie Wen and
               Ke Yan and
               Zheng Zhang and
               Yong Xu and
               Junqian Wang and
               Lunke Fei and
               Bob Zhang},
  title     = {Adaptive Graph Completion Based Incomplete Multi-View Clustering},
  journal   = {{IEEE} Trans. Multim.},
  volume    = {23},
  pages     = {2493--2504},
  year      = {2021},
  url       = {https://doi.org/10.1109/TMM.2020.3013408},
  doi       = {10.1109/TMM.2020.3013408},
  timestamp = {Tue, 21 Mar 2023 21:07:36 +0100},
  biburl    = {https://dblp.org/rec/journals/tmm/WenYZXWFZ21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/tcyb/WenXL20,
  author    = {Jie Wen and
               Yong Xu and
               Hong Liu},
  title     = {Incomplete Multiview Spectral Clustering With Adaptive Graph Learning},
  journal   = {{IEEE} Trans. Cybern.},
  volume    = {50},
  number    = {4},
  pages     = {1418--1429},
  year      = {2020},
  url       = {https://doi.org/10.1109/TCYB.2018.2884715},
  doi       = {10.1109/TCYB.2018.2884715},
  timestamp = {Sat, 22 Aug 2020 19:02:26 +0200},
  biburl    = {https://dblp.org/rec/journals/tcyb/WenXL20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}


@inproceedings{DBLP:conf/aaai/GuoY19,
  author    = {Jun Guo and
               Jiahui Ye},
  title     = {Anchors Bring Ease: An Embarrassingly Simple Approach to Partial Multi-View
               Clustering},
  booktitle = {The Thirty-Third {AAAI} Conference on Artificial Intelligence, {AAAI}
               2019, The Thirty-First Innovative Applications of Artificial Intelligence
               Conference, {IAAI} 2019, The Ninth {AAAI} Symposium on Educational
               Advances in Artificial Intelligence, {EAAI} 2019, Honolulu, Hawaii,
               USA, January 27 - February 1, 2019},
  pages     = {118--125},
  publisher = {{AAAI} Press},
  year      = {2019},
  url       = {https://doi.org/10.1609/aaai.v33i01.3301118},
  doi       = {10.1609/aaai.v33i01.3301118},
  timestamp = {Tue, 02 Feb 2021 08:00:37 +0100},
  biburl    = {https://dblp.org/rec/conf/aaai/GuoY19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/mm/XuGZWL18,
  author    = {Nan Xu and
               Yanqing Guo and
               Xin Zheng and
               Qianyu Wang and
               Xiangyang Luo},
  editor    = {Susanne Boll and
               Kyoung Mu Lee and
               Jiebo Luo and
               Wenwu Zhu and
               Hyeran Byun and
               Chang Wen Chen and
               Rainer Lienhart and
               Tao Mei},
  title     = {Partial Multi-view Subspace Clustering},
  booktitle = {2018 {ACM} Multimedia Conference on Multimedia Conference, {MM} 2018,
               Seoul, Republic of Korea, October 22-26, 2018},
  pages     = {1794--1801},
  publisher = {{ACM}},
  year      = {2018},
  url       = {https://doi.org/10.1145/3240508.3240679},
  doi       = {10.1145/3240508.3240679},
  timestamp = {Mon, 18 Nov 2019 15:08:26 +0100},
  biburl    = {https://dblp.org/rec/conf/mm/XuGZWL18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}


@article{9327500,
  author  = {Fang, Xiang and Hu, Yuchong and Zhou, Pan and Wu, Dapeng Oliver},
  journal = {IEEE Transactions on Artificial Intelligence},
  title   = {V$^3$H: View Variation and View Heredity for Incomplete Multiview Clustering},
  year    = {2020},
  volume  = {1},
  number  = {3},
  pages   = {233-247},
  doi     = {10.1109/TAI.2021.3052425}
}


@inproceedings{DBLP:conf/mm/0001ZZWFXZ20,
  author    = {Jie Wen and
               Zheng Zhang and
               Zhao Zhang and
               Zhihao Wu and
               Lunke Fei and
               Yong Xu and
               Bob Zhang},
  editor    = {Chang Wen Chen and
               Rita Cucchiara and
               Xian{-}Sheng Hua and
               Guo{-}Jun Qi and
               Elisa Ricci and
               Zhengyou Zhang and
               Roger Zimmermann},
  title     = {DIMC-net: Deep Incomplete Multi-view Clustering Network},
  booktitle = {{MM} '20: The 28th {ACM} International Conference on Multimedia, Virtual
               Event / Seattle, WA, USA, October 12-16, 2020},
  pages     = {3753--3761},
  publisher = {{ACM}},
  year      = {2020},
  url       = {https://doi.org/10.1145/3394171.3413807},
  doi       = {10.1145/3394171.3413807},
  timestamp = {Tue, 21 Mar 2023 20:54:33 +0100},
  biburl    = {https://dblp.org/rec/conf/mm/0001ZZWFXZ20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}


@article{DBLP:journals/tip/WangLSGJ21,
  author    = {Qianqian Wang and
               Huanhuan Lian and
               Gan Sun and
               Quanxue Gao and
               Licheng Jiao},
  title     = {iCmSC: Incomplete Cross-Modal Subspace Clustering},
  journal   = {{IEEE} Trans. Image Process.},
  volume    = {30},
  pages     = {305--317},
  year      = {2021},
  url       = {https://doi.org/10.1109/TIP.2020.3036717},
  doi       = {10.1109/TIP.2020.3036717},
  timestamp = {Tue, 26 Jan 2021 08:44:55 +0100},
  biburl    = {https://dblp.org/rec/journals/tip/WangLSGJ21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}


@inproceedings{DBLP:conf/cvpr/0001GLL0021,
  author    = {Yijie Lin and
               Yuanbiao Gou and
               Zitao Liu and
               Boyun Li and
               Jiancheng Lv and
               Xi Peng},
  title     = {{COMPLETER:} Incomplete Multi-View Clustering via Contrastive Prediction},
  booktitle = {{IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR}
               2021, virtual, June 19-25, 2021},
  pages     = {11174--11183},
  publisher = {Computer Vision Foundation / {IEEE}},
  year      = {2021},
  url       = {https://openaccess.thecvf.com/content/CVPR2021/html/Lin\_COMPLETER\_Incomplete\_Multi-View\_Clustering\_via\_Contrastive\_Prediction\_CVPR\_2021\_paper.html},
  doi       = {10.1109/CVPR46437.2021.01102},
  timestamp = {Wed, 07 Dec 2022 23:06:25 +0100},
  biburl    = {https://dblp.org/rec/conf/cvpr/0001GLL0021.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}


@inproceedings{DBLP:conf/ijcai/XuGZWNL19,
  author    = {Cai Xu and
               Ziyu Guan and
               Wei Zhao and
               Hongchang Wu and
               Yunfei Niu and
               Beilei Ling},
  editor    = {Sarit Kraus},
  title     = {Adversarial Incomplete Multi-view Clustering},
  booktitle = {Proceedings of the Twenty-Eighth International Joint Conference on
               Artificial Intelligence, {IJCAI} 2019, Macao, China, August 10-16,
               2019},
  pages     = {3933--3939},
  publisher = {ijcai.org},
  year      = {2019},
  url       = {https://doi.org/10.24963/ijcai.2019/546},
  doi       = {10.24963/ijcai.2019/546},
  timestamp = {Fri, 27 Sep 2019 11:22:07 +0200},
  biburl    = {https://dblp.org/rec/conf/ijcai/XuGZWNL19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}


@article{Luo2020,
  abstract = {Practically, we often face the dilemma that some of the examples for training a classifier are incorrectly labeled due to various subjective and objective factors. Although intensive efforts have been put to design classifiers that are robust to label noise, most of the previous methods have not fully utilized data distribution information. To address this issue, this paper introduces a bi-level learning paradigm termed “Spectral Cluster Discovery” (SCD) for combating with noisy labels. Namely, we simultaneously learn a robust classifier (Learning stage) by discovering the low-rank approximation to the ground-truth label matrix and learn an ideal affinity graph (Clustering stage). Specifically, we use the learned classifier to assign the examples with similar label to a mutual cluster. Based on the cluster membership, we use the learned affinity graph to explore the noisy examples based on the cluster membership. Both stages will reinforce each other iteratively. Experimental results on typical benchmark and real-world datasets verify the superiority of SCD to other label noise learning methods.},
  author   = {Luo, Yijing and Han, Bo and Gong, Chen},
  doi      = {10.24963/ijcai.2020/361},
  isbn     = {9780999241165},
  issn     = {10450823},
  journal  = {IJCAI International Joint Conference on Artificial Intelligence},
  keywords = {Machine Learning: Classification,Machine Learning: Clustering},
  pages    = {2605--2611},
  title    = {{A bi-level formulation for label noise learning with spectral cluster discovery}},
  volume   = {2021-Janua},
  year     = {2020}
}


@inproceedings{Cui2016/04,
  abstract  = {Kuhn-Munkres algorithm is one of the most popular polynomial time algorithms for solving clas- sical assignment problem. The assignment problem is to find an assignment of the jobs to the workers that has minimum cost, given a cost matrix X ∈ Rm×n, where the element in the i-th row and j-th column represents the cost of assigning the i-th job to the j-th worker. The time complexity of Kuhn-Munkres algorithm is O(mn^2), which brings prohibitive computational burden on large scale matrices, limiting the further usage of these methods in real applications. Motivated by this observation, a series of acceleration skills and parallel techniques have been studied on special structure. In this paper, we improve the original Kuhn-Munkres algorithm by utilizing the sparsity structure of the cost matrix, and propose two algorithms, sparsity based KM(sKM) and parallel KM(pKM). Furthermore, numerical experiments are given to show the efficiency of our algorithm. We empirically evaluate the proposed algorithm sKM) and (pKM) on random generated large scale datasets. Results have shown that sKM) greatly improves the computational performance. At the same time, (pKM) provides a parallel way to solve assignment problem with considerable accuracy loss.},
  author    = {Cui, Hong and Zhang, Jingjing and Cui, Chunfeng and Chen, Qinyu},
  booktitle = {Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)},
  doi       = {10.2991/ameii-16.2016.160},
  isbn      = {978-94-6252-188-9},
  issn      = {2352-5401},
  keywords  = {a ssignment o f,abstract,and j -th column,assignment problem,given a cost matrix,has minimum cost,kuhn-munkres algorithm,kuhn-munkres algorithm is one,n,of the most popular,parallel-km,polynomial time algorithms for,r m,rep-,sical assignment problem,solving clas-,sparse-km,t he j obs,t o t he,the assignment problem is,the i -th row,to find a n,w orkers that,where the element in,x},
  number    = {Ameii},
  pages     = {822--827},
  publisher = {Atlantis Press},
  title     = {{Solving large-scale assignment problems by Kuhn-Munkres algorithm}},
  url       = {https://doi.org/10.2991/ameii-16.2016.160},
  year      = {2016}
}

@article{DBLP:journals/apin/KangLYFBLL22,
  author    = {Peipei Kang and
               Zehang Lin and
               Zhenguo Yang and
               Xiaozhao Fang and
               Alexander M. Bronstein and
               Qing Li and
               Wenyin Liu},
  title     = {Intra-class low-rank regularization for supervised and semi-supervised
               cross-modal retrieval},
  journal   = {Appl. Intell.},
  volume    = {52},
  number    = {1},
  pages     = {33--54},
  year      = {2022},
  url       = {https://doi.org/10.1007/s10489-021-02308-3},
  doi       = {10.1007/s10489-021-02308-3},
  timestamp = {Sat, 09 Apr 2022 12:25:59 +0200},
  biburl    = {https://dblp.org/rec/journals/apin/KangLYFBLL22.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}


@article{DBLP:journals/pr/ZhangW22a,
  author    = {Donglin Zhang and
               Xiao{-}Jun Wu},
  title     = {Robust and discrete matrix factorization hashing for cross-modal retrieval},
  journal   = {Pattern Recognit.},
  volume    = {122},
  pages     = {108343},
  year      = {2022},
  url       = {https://doi.org/10.1016/j.patcog.2021.108343},
  doi       = {10.1016/j.patcog.2021.108343},
  timestamp = {Thu, 21 Jul 2022 09:32:55 +0200},
  biburl    = {https://dblp.org/rec/journals/pr/ZhangW22a.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}


@article{DBLP:journals/pami/ElhamifarV13,
  author    = {Ehsan Elhamifar and
               Ren{\'{e}} Vidal},
  title     = {Sparse Subspace Clustering: Algorithm, Theory, and Applications},
  journal   = {{IEEE} Trans. Pattern Anal. Mach. Intell.},
  volume    = {35},
  number    = {11},
  pages     = {2765--2781},
  year      = {2013},
  url       = {https://doi.org/10.1109/TPAMI.2013.57},
  doi       = {10.1109/TPAMI.2013.57},
  timestamp = {Wed, 14 Nov 2018 10:50:59 +0100},
  biburl    = {https://dblp.org/rec/journals/pami/ElhamifarV13.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/adac/GuerraUrzolaSTSVD23,
  author    = {Rosember Guerra{-}Urzola and
               Niek C. de Schipper and
               Anya Tonne and
               Klaas Sijtsma and
               Juan C. Vera and
               Katrijn Van Deun},
  title     = {Sparsifying the least-squares approach to {PCA:} comparison of lasso
               and cardinality constraint},
  journal   = {Adv. Data Anal. Classif.},
  volume    = {17},
  number    = {1},
  pages     = {269--286},
  year      = {2023},
  url       = {https://doi.org/10.1007/s11634-022-00499-2},
  doi       = {10.1007/s11634-022-00499-2},
  timestamp = {Sat, 11 Mar 2023 00:13:42 +0100},
  biburl    = {https://dblp.org/rec/journals/adac/GuerraUrzolaSTSVD23.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/icml/LiuHC10,
  author    = {Wei Liu and
               Junfeng He and
               Shih{-}Fu Chang},
  editor    = {Johannes F{\"{u}}rnkranz and
               Thorsten Joachims},
  title     = {Large Graph Construction for Scalable Semi-Supervised Learning},
  booktitle = {Proceedings of the 27th International Conference on Machine Learning
               (ICML-10), June 21-24, 2010, Haifa, Israel},
  pages     = {679--686},
  publisher = {Omnipress},
  year      = {2010},
  url       = {https://icml.cc/Conferences/2010/papers/16.pdf},
  timestamp = {Wed, 03 Apr 2019 17:43:37 +0200},
  biburl    = {https://dblp.org/rec/conf/icml/LiuHC10.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}


@inproceedings{DBLP:conf/aaai/KangZZSHX20,
  author    = {Zhao Kang and
               Wangtao Zhou and
               Zhitong Zhao and
               Junming Shao and
               Meng Han and
               Zenglin Xu},
  title     = {Large-Scale Multi-View Subspace Clustering in Linear Time},
  booktitle = {The Thirty-Fourth {AAAI} Conference on Artificial Intelligence, {AAAI}
               2020, The Thirty-Second Innovative Applications of Artificial Intelligence
               Conference, {IAAI} 2020, The Tenth {AAAI} Symposium on Educational
               Advances in Artificial Intelligence, {EAAI} 2020, New York, NY, USA,
               February 7-12, 2020},
  pages     = {4412--4419},
  publisher = {{AAAI} Press},
  year      = {2020},
  url       = {https://ojs.aaai.org/index.php/AAAI/article/view/5867},
  timestamp = {Mon, 07 Mar 2022 16:57:37 +0100},
  biburl    = {https://dblp.org/rec/conf/aaai/KangZZSHX20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}


@article{DBLP:journals/tip/YangZNW22,
  author    = {Ben Yang and
               Xuetao Zhang and
               Feiping Nie and
               Fei Wang},
  title     = {Fast Multiview Clustering With Spectral Embedding},
  journal   = {{IEEE} Trans. Image Process.},
  volume    = {31},
  pages     = {3884--3895},
  year      = {2022},
  url       = {https://doi.org/10.1109/TIP.2022.3176223},
  doi       = {10.1109/TIP.2022.3176223},
  timestamp = {Mon, 09 Jan 2023 22:14:48 +0100},
  biburl    = {https://dblp.org/rec/journals/tip/YangZNW22.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}


@article{DBLP:journals/kbs/ZhangHW23,
  author    = {Guang{-}Yu Zhang and
               Dong Huang and
               Chang{-}Dong Wang},
  title     = {Facilitated low-rank multi-view subspace clustering},
  journal   = {Knowl. Based Syst.},
  volume    = {260},
  pages     = {110141},
  year      = {2023},
  url       = {https://doi.org/10.1016/j.knosys.2022.110141},
  doi       = {10.1016/j.knosys.2022.110141},
  timestamp = {Tue, 31 Jan 2023 20:45:26 +0100},
  biburl    = {https://dblp.org/rec/journals/kbs/ZhangHW23.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/ijon/BibalDF23,
  author    = {Adrien Bibal and
               Valentin Delchevalerie and
               Beno{\^{\i}}t Fr{\'{e}}nay},
  title     = {{DT-SNE:} t-SNE discrete visualizations as decision tree structures},
  journal   = {Neurocomputing},
  volume    = {529},
  pages     = {101--112},
  year      = {2023},
  url       = {https://doi.org/10.1016/j.neucom.2023.01.073},
  doi       = {10.1016/j.neucom.2023.01.073},
  timestamp = {Tue, 21 Mar 2023 21:07:53 +0100},
  biburl    = {https://dblp.org/rec/journals/ijon/BibalDF23.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/pami/ZhangCHZFH22,
  author    = {Changqing Zhang and
               Yajie Cui and
               Zongbo Han and
               Joey Tianyi Zhou and
               Huazhu Fu and
               Qinghua Hu},
  title     = {Deep Partial Multi-View Learning},
  journal   = {{IEEE} Trans. Pattern Anal. Mach. Intell.},
  volume    = {44},
  number    = {5},
  pages     = {2402--2415},
  year      = {2022},
  url       = {https://doi.org/10.1109/TPAMI.2020.3037734},
  doi       = {10.1109/TPAMI.2020.3037734},
  timestamp = {Tue, 16 Aug 2022 23:05:07 +0200},
  biburl    = {https://dblp.org/rec/journals/pami/ZhangCHZFH22.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/tii/XiuM0L22,
  author    = {Xianchao Xiu and
               Zhonghua Miao and
               Ying Yang and
               Wanquan Liu},
  title     = {Deep Canonical Correlation Analysis Using Sparsity-Constrained Optimization
               for Nonlinear Process Monitoring},
  journal   = {{IEEE} Trans. Ind. Informatics},
  volume    = {18},
  number    = {10},
  pages     = {6690--6699},
  year      = {2022},
  url       = {https://doi.org/10.1109/TII.2021.3121770},
  doi       = {10.1109/TII.2021.3121770},
  timestamp = {Mon, 25 Jul 2022 08:39:56 +0200},
  biburl    = {https://dblp.org/rec/journals/tii/XiuM0L22.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/cikm/0001W0FZ021,
  author    = {Jie Wen and
               Zhihao Wu and
               Zheng Zhang and
               Lunke Fei and
               Bob Zhang and
               Yong Xu},
  editor    = {Gianluca Demartini and
               Guido Zuccon and
               J. Shane Culpepper and
               Zi Huang and
               Hanghang Tong},
  title     = {Structural Deep Incomplete Multi-view Clustering Network},
  booktitle = {{CIKM} '21: The 30th {ACM} International Conference on Information
               and Knowledge Management, Virtual Event, Queensland, Australia, November
               1 - 5, 2021},
  pages     = {3538--3542},
  publisher = {{ACM}},
  year      = {2021},
  url       = {https://doi.org/10.1145/3459637.3482192},
  doi       = {10.1145/3459637.3482192},
  timestamp = {Tue, 21 Mar 2023 20:54:47 +0100},
  biburl    = {https://dblp.org/rec/conf/cikm/0001W0FZ021.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/npl/ZhangLZZ22,
  author    = {Haiqi Zhang and
               Guangquan Lu and
               Mengmeng Zhan and
               Beixian Zhang},
  title     = {Semi-Supervised Classification of Graph Convolutional Networks with
               Laplacian Rank Constraints},
  journal   = {Neural Process. Lett.},
  volume    = {54},
  number    = {4},
  pages     = {2645--2656},
  year      = {2022},
  url       = {https://doi.org/10.1007/s11063-020-10404-7},
  doi       = {10.1007/s11063-020-10404-7},
  timestamp = {Sun, 02 Oct 2022 15:45:36 +0200},
  biburl    = {https://dblp.org/rec/journals/npl/ZhangLZZ22.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/icml/XieGF16,
  author    = {Junyuan Xie and
               Ross B. Girshick and
               Ali Farhadi},
  editor    = {Maria{-}Florina Balcan and
               Kilian Q. Weinberger},
  title     = {Unsupervised Deep Embedding for Clustering Analysis},
  booktitle = {Proceedings of the 33nd International Conference on Machine Learning,
               {ICML} 2016, New York City, NY, USA, June 19-24, 2016},
  series    = {{JMLR} Workshop and Conference Proceedings},
  volume    = {48},
  pages     = {478--487},
  publisher = {JMLR.org},
  year      = {2016},
  url       = {http://proceedings.mlr.press/v48/xieb16.html},
  timestamp = {Wed, 29 May 2019 08:41:46 +0200},
  biburl    = {https://dblp.org/rec/conf/icml/XieGF16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/ijcai/WenZ0ZFX20,
  author    = {Jie Wen and
               Zheng Zhang and
               Yong Xu and
               Bob Zhang and
               Lunke Fei and
               Guo{-}Sen Xie},
  editor    = {Christian Bessiere},
  title     = {CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network},
  booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
               Artificial Intelligence, {IJCAI} 2020},
  pages     = {3230--3236},
  publisher = {ijcai.org},
  year      = {2020},
  url       = {https://doi.org/10.24963/ijcai.2020/447},
  doi       = {10.24963/ijcai.2020/447},
  timestamp = {Sat, 05 Sep 2020 18:07:14 +0200},
  biburl    = {https://dblp.org/rec/conf/ijcai/WenZ0ZFX20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/tip/WangDTGF21,
  author    = {Qianqian Wang and
               Zhengming Ding and
               Zhiqiang Tao and
               Quanxue Gao and
               Yun Fu},
  title     = {Generative Partial Multi-View Clustering With Adaptive Fusion and
               Cycle Consistency},
  journal   = {{IEEE} Trans. Image Process.},
  volume    = {30},
  pages     = {1771--1783},
  year      = {2021},
  url       = {https://doi.org/10.1109/TIP.2020.3048626},
  doi       = {10.1109/TIP.2020.3048626},
  timestamp = {Tue, 01 Jun 2021 10:00:32 +0200},
  biburl    = {https://dblp.org/rec/journals/tip/WangDTGF21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/cvpr/ZhangLF19,
  author    = {Changqing Zhang and
               Yeqing Liu and
               Huazhu Fu},
  title     = {AE2-Nets: Autoencoder in Autoencoder Networks},
  booktitle = {{IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR}
               2019, Long Beach, CA, USA, June 16-20, 2019},
  pages     = {2577--2585},
  publisher = {Computer Vision Foundation / {IEEE}},
  year      = {2019},
  url       = {http://openaccess.thecvf.com/content\_CVPR\_2019/html/Zhang\_AE2-Nets\_Autoencoder\_in\_Autoencoder\_Networks\_CVPR\_2019\_paper.html},
  doi       = {10.1109/CVPR.2019.00268},
  timestamp = {Mon, 30 Aug 2021 17:01:14 +0200},
  biburl    = {https://dblp.org/rec/conf/cvpr/ZhangLF19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/tits/XuZKDWLS23,
  author    = {Aikun Xu and
               Ping Zhong and
               Yilin Kang and
               Jiongqiang Duan and
               Anning Wang and
               Mingming Lu and
               Chuan Shi},
  title     = {{THAN:} Multimodal Transportation Recommendation With Heterogeneous
               Graph Attention Networks},
  journal   = {{IEEE} Trans. Intell. Transp. Syst.},
  volume    = {24},
  number    = {2},
  pages     = {1533--1543},
  year      = {2023},
  url       = {https://doi.org/10.1109/TITS.2022.3221370},
  doi       = {10.1109/TITS.2022.3221370},
  timestamp = {Sat, 25 Feb 2023 21:34:39 +0100},
  biburl    = {https://dblp.org/rec/journals/tits/XuZKDWLS23.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/ijon/XieXWGX20,
  author    = {De{-}Yan Xie and
               Wei Xia and
               Qianqian Wang and
               Quanxue Gao and
               Song Xiao},
  title     = {Multi-view clustering by joint manifold learning and tensor nuclear
               norm},
  journal   = {Neurocomputing},
  volume    = {380},
  pages     = {105--114},
  year      = {2020},
  url       = {https://doi.org/10.1016/j.neucom.2019.11.014},
  doi       = {10.1016/j.neucom.2019.11.014},
  timestamp = {Thu, 14 Oct 2021 09:05:25 +0200},
  biburl    = {https://dblp.org/rec/journals/ijon/XieXWGX20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{IMG,
  author          = {Zhao, Handong and Liu, Hongfu and Fu, Yun},
  file            = {:D\:/Mendeley Desktop Documents/Incomplete multi-modal visual data grouping - Zhao, Liu, Fu - 2016.pdf:pdf},
  issn            = {10450823},
  journal         = {IJCAI International Joint Conference on Artificial Intelligence},
  keywords        = {Machine Learning,MethodScanned,OfficialCode},
  mendeley-groups = {Incomplete Multi-view Clustreing/Time,Incomplete Multi-view Clustreing/All},
  mendeley-tags   = {MethodScanned,OfficialCode},
  pages           = {2392--2398},
  title           = {{Incomplete multi-modal visual data grouping}},
  url             = {https://dl.acm.org/doi/10.5555/3060832.3060956},
  volume          = {2016-Janua},
  year            = {2016}
}

@inproceedings{DCCAE,
  author    = {Weiran Wang and
               Raman Arora and
               Karen Livescu and
               Jeff A. Bilmes},
  editor    = {Francis R. Bach and
               David M. Blei},
  title     = {On Deep Multi-View Representation Learning},
  booktitle = {Proceedings of the 32nd International Conference on Machine Learning,
               {ICML} 2015, Lille, France, 6-11 July 2015},
  series    = {{JMLR} Workshop and Conference Proceedings},
  volume    = {37},
  pages     = {1083--1092},
  year      = {2015},
  url       = {http://proceedings.mlr.press/v37/wangb15.html},
  timestamp = {Wed, 29 May 2019 08:41:45 +0200},
  biburl    = {https://dblp.org/rec/conf/icml/WangALB15.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/tetci/FangHZW22,
  author    = {Xiang Fang and
               Yuchong Hu and
               Pan Zhou and
               Dapeng Oliver Wu},
  title     = {Unbalanced Incomplete Multi-View Clustering Via the Scheme of View
               Evolution: Weak Views are Meat; Strong Views Do Eat},
  journal   = {{IEEE} Trans. Emerg. Top. Comput. Intell.},
  volume    = {6},
  number    = {4},
  pages     = {913--927},
  year      = {2022},
  url       = {https://doi.org/10.1109/TETCI.2021.3077909},
  doi       = {10.1109/TETCI.2021.3077909},
  timestamp = {Mon, 08 Aug 2022 21:23:57 +0200},
  biburl    = {https://dblp.org/rec/journals/tetci/FangHZW22.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DCCA,
  author    = {Galen Andrew and
               Raman Arora and
               Jeff A. Bilmes and
               Karen Livescu},
  title     = {Deep Canonical Correlation Analysis},
  booktitle = {Proceedings of the 30th International Conference on Machine Learning,
               {ICML} 2013, Atlanta, GA, USA, 16-21 June 2013},
  series    = {{JMLR} Workshop and Conference Proceedings},
  volume    = {28},
  pages     = {1247--1255},
  year      = {2013},
  url       = {http://proceedings.mlr.press/v28/andrew13.html},
  timestamp = {Wed, 29 May 2019 08:41:45 +0200},
  biburl    = {https://dblp.org/rec/conf/icml/AndrewABL13.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{GraphTSNE,
  title     = {GraphTSNE: A Visualization Technique for Graph-Structured Data},
  author    = {Leow, Yao Yang and Laurent, Thomas and Bresson, Xavier},
  booktitle = {
               ICLR Workshop on Representation Learning on Graphs and Manifolds
               },
  year      = {2019},
  url       = {https://arxiv.org/abs/1904.06915}
}


@article{SGC-IMVC,
  author  = {Liu, Cheng and Wu, Si and Li, Rui and Jiang, Dazhi and Wong, Hau-San},
  journal = {IEEE Transactions on Knowledge and Data Engineering},
  title   = {Self-Supervised Graph Completion for Incomplete Multi-View Clustering},
  year    = {2023},
  volume  = {35},
  number  = {9},
  pages   = {9394-9406},
  doi     = {10.1109/TKDE.2023.3238416}
}

@inproceedings{HCLS-CGL,
  author    = {Wen, Jie and Liu, Chengliang and Xu, Gehui and Wu, Zhihao and Huang, Chao and Fei, Lunke and Xu, Yong},
  title     = {Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-View Clustering},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  month     = {June},
  year      = {2023},
  pages     = {15712-15721}
}

@inproceedings{IMVC-CBG,
  author    = {Wang, Siwei and Liu, Xinwang and Liu, Li and Tu, Wenxuan and Zhu, Xinzhong and Liu, Jiyuan and Zhou, Sihang and Zhu, En},
  booktitle = {2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  title     = {Highly-efficient Incomplete Largescale Multiview Clustering with Consensus Bipartite Graph},
  year      = {2022},
  volume    = {},
  number    = {},
  pages     = {9766-9775},
  doi       = {10.1109/CVPR52688.2022.00955}
}


@article{BMVC,
  author    = {Zheng Zhang and
               Li Liu and
               Fumin Shen and
               Heng Tao Shen and
               Ling Shao},
  title     = {Binary Multi-View Clustering},
  journal   = {{IEEE} Trans. Pattern Anal. Mach. Intell.},
  volume    = {41},
  number    = {7},
  pages     = {1774--1782},
  year      = {2019},
  doi       = {10.1109/TPAMI.2018.2847335},
  timestamp = {Sat, 30 May 2020 20:02:02 +0200},
  biburl    = {https://dblp.org/rec/journals/pami/ZhangLSSS19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
